Muscle fatigue is defined as the point at which the muscle is no longer able to sustain the required force or work output level. The overexertion of muscle force and muscle fatigue can induce acute pain and chronic pain in human body. When muscle fatigue is accumulated, the functional disability can be resulted as musculoskeletal disorders (MSD). There are several posture exposure analysis methods useful for rating the MSD risks, but they are mainly based on static postures. Even in some fatigue evaluation methods, muscle fatigue evaluation is only available for static postures, but not suitable for dynamic working process. Meanwhile, some existing muscle fatigue models based on physiological models cannot be easily used in industrial ergonomic evaluations. The external dynamic load is definitely the most important factor resulting muscle fatigue, thus we propose a new fatigue model under a framework for evaluating fatigue in dynamic working processes. Under this framework, virtual reality system is taken to generate virtual working environment, which can be interacted with the work with haptic interfaces and optical motion capture system. The motion information and load information are collected and further processed to evaluate the overall work load of the worker based on dynamic muscle fatigue models and other work evaluation criterions and to give new information to characterize the penibility of the task in design process.
Determination of subject-specific muscle fatigue rates under static fatiguing operations
Tsinghua University（清华大学）；Institut de Recherche en Communications et en Cybernétique de Nantes（南特通信与控制论研究所）；École Centrale de Nantes（南特中央理工学院）；EADS Innovation Works（EADS创新工厂）
A new simple dynamic muscle fatigue model and its validation
Institut de Recherche en Communications et en Cybernetique de Nantes, UMR CNRS 6597, Ecole Centrale de Nantes（南特通信与网络研究所，法国国家科学研究中心联合研究单位6597，南特中央理工大学）；Department of Industrial Engineering, Tsinghua University（清华大学工业工程系）
A novel approach for determining fatigue resistances of different muscle groups in static cases
Tsinghua University（清华大学）；École Centrale de Nantes（南特中央理工学院）；Institut de Recherche en Communications et en Cybernétique de Nantes（南特通信与控制研究所）；EADS Innovation Works（欧洲宇航防务集团创新中心）
Multi-Objective Optimisation Method for Posture Prediction and Analysis with Consideration of Fatigue Effect and its Application Case
Institut de Recherche en Communications et en Cybernétique de Nantes（南特通信与控制研究所）；Ecole Centrale de Nantes（南特中央理工学院）；Tsinghua University（清华大学）；EADS Innovation Works（EADS创新工作室）
The interplay of fatigue dynamics and task achievement using optimal control predictive simulation
Laboratoire de Simulation et Modélisation du Mouvement（运动仿真与建模实验室）；École de kinésiologie et des Sciences de l’Activité Physique（运动机能学与体育活动科学学院）；Université de Montréal（蒙特利尔大学）；Centre de réadaptation Marie-Enfant（玛丽-昂方康复中心）；CHU Sainte-Justine（圣贾斯汀大学医疗中心）
A Portable and Passive Gravity Compensation Arm Support for Drone Teleoperation
École Polytechnique Fédérale de Lausanne (EPFL)（洛桑联邦理工学院 (EPFL)）；ETHZ（苏黎世联邦理工学院）；Swiss Federal Institute for Forest Snow, and Landscape Research (WSL)（瑞士联邦森林、雪与景观研究所 (WSL)）
Muscle-inspired magnetic actuators that push, pull, crawl, and grasp
Functional Materials, Institute of Materials Science, Technical University of Darmstadt（功能材料，材料科学研究所，达姆施塔特技术大学）；Additive Manufacturing Center, Technical University of Darmstadt（增材制造中心，达姆施塔特技术大学）
